Senior Engineer-1

Invesco • Atlanta, GA

2d • Hybrid

About The Position

Invesco is seeking a Senior Engineer, Investments Technology, to design, enhance, and support capabilities within the model delivery platform, including ECOS. This role will partner closely with quantitative research teams, model owners, and downstream consumers to ensure accurate, timely, and scalable delivery of model content across multiple channels (e.g., S3, FTP, email, websites, and internal systems). This individual will work in a fast-paced environment requiring strong data engineering capabilities, attention to detail, and a mindset focused on reliability and automation. The role reports to the Director, Investments Technology supporting the Solutions business unit.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
• 3+ years of hands-on experience in software engineering or data engineering (financial services or asset management experience preferred).
• 3+ years of SQL Server and T-SQL experience, including complex query design, stored procedures, performance tuning, and ETL workflows.
• 3+ years of Python experience, including data processing, service development, or automation frameworks.
• Strong experience with data engineering concepts (data modeling, data pipelines, validation frameworks, lineage, error handling).
• Hands-on experience with modern CI/CD and DevOps practices.
• Experience designing scalable systems and APIs for data-delivery use cases.
• Experience working with structured and unstructured datasets.

Nice To Haves

• Experience with AWS services (e.g., Lambda, S3, Step Functions, Fargate, Aurora, Terraform) preferred.

Responsibilities

• Designing, building, and maintaining data-engineering workflows that support model delivery across multiple destinations.
• Developing and extending the ECOS platform components responsible for ingesting, transforming, validating, and routing model content.
• Building robust SQL Server/T-SQL–based logic for data processing, validation, auditing, and error handling.
• Implementing scalable Python services, microservices, and automation tools supporting the end-to-end delivery lifecycle.
• Designing and operating CI/CD pipelines for model delivery services.
• Ensuring data quality, completeness, and traceability through proper logging, monitoring, and operational tooling.
• Working closely with quantitative researchers and model owners to improve delivery workflows and enhance platform usability.
• Experimenting with new tools, design patterns, and technologies to continuously improve reliability, performance, and maintainability.
• Participating in on-call rotation or escalation support for production model delivery processes (as needed).

Benefits

• Flexible paid time off
• Hybrid work schedule
• 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
• Health & wellbeing benefits
• Parental Leave benefits
• Employee stock purchase plan

What This Job Offers

• Job Type: Full-time
• Career Level: Senior